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    A clustering-based approach to land valuation in land consolidation projects
    (Elsevier Sci Ltd, 2021) Ertunc, Ela; Karkinli, Ahmet Emin; Bozdag, Asli
    Land valuation is a comprehensive assessment process that aims to assign the agricultural value of all parcels in the land consolidation area, based on soil quality and land productivity (using a relative non-dimensional score). Thus, the land value represents a critical parameter that directly influences the monetary interests of landowners. This process should be managed in a reliable, correct, and fair manner. Furthermore, the traditional land valuation process is time-consuming and costly, and its results may be inconsistent because those who determine the value cannot take into account and compare the land valuation parameters required for all parcels. The solution to these deficiencies requires a new valuation approach. After land consolidation in the project area, the value of the existing parcels must be determined according to certain criteria in order to give to the enterprise land with the equal value to its previous land. In this study, a new land valuation model was developed with the help of clustering algorithms (K-means, K-medoids, Fuzzy C-means) and Weighted Differential Evolution, a heuristic optimization algorithm, using the most basic nine different parameters affecting the land value. The clustering method used in this model performs the valuation by clustering the parcels with common characteristics according to the parameter values. The method in which the cumulative sum of the distances of parcels to the cluster centers is the shortest exhibits the best clustering performance. In this study, the best clustering performance was obtained with the WDE-based clustering algorithm. When compared with the other algorithm results by mapping the classical valuation results, it was determined that the clustering method results evaluated the parcels more precisely. The study contributes to the literature in terms of including in the developed method parameters other than those used in the existing methods and determining the land value more precisely, fairly, and reliably with the help of heuristic algorithms.
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    A spatial analysis for sustainable planning of tourism impacts using GIS: cesme (Cyssus), Izmir, Turkey
    (Springer, 2023) Bozdag, Asli
    cesme is a city that is located in Izmir Province in Turkey and has been developing with its port city characteristics, location, tourism potential, military, and trade potentials since the Medieval Age. This study aimed to analyze the impacts of tourism that emerged in cesme in the last century with the help of Geographic Information Systems (GIS) and contribute to planning the city with sustainable principles without losing its tourism attractiveness. The impacts of tourism on the city's macroform development, its natural and built environment, cultural heritage, and architectural configuration were analyzed with GIS and evaluated with SWOT (Strengths, Weaknesses, Opportunities, Threats) analysis. The study determined that the impacts of tourism on the city could be observed in the port due to the interaction with Chios, on the coastline and in the natural site area with the expansion of second homes, and in the urban site area with the historic port city identity. As a result of the study, the impacts of tourism in the city were found on the harbor and coastline, second home settlement, and historical city texture. Cruise tourism and coastal tourism pose a threat to the ecological structure of the coastline. Second home settlement adversely affects the historical silhouette of the coastline and the city while threatening its natural protected areas. The historical city texture has been restored for the city with the conservation projects created in recent years. However, its functional integration with coastal tourism is needed. In this context, the conservation development planning zones created by the Ministry of Culture are extremely important for the future of the city. However, for sustainable tourism development of the city, holistic planning focusing on the coastline, historical city, port, and Chios is required instead of sectional planning.
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    COLLABORATIVE LAND USE PLANNING IN URBAN RENEWAL
    (Bucharest Univ Press, 2021) Bozdag, Asli; Inam, Saban
    Conflicting expectations of stakeholders in urban renewal applications may lead to spatial and functionally unsustainable applications. Therefore, urban renewal applications require collaborative planning with their multi-stakeholder and multi-dimensional structure (political, social, and economic). This study aims to create a collaborative land-use planning (CLUP) approach that minimizes the factors arising from the expectations of the stakeholders and that has an adverse effect on the success of the project. The study consists of two stages. In the first stage, the literature is reviewed to create a framework for the CLUP approach. Within this framework, spatial and functional goals are identified for an urban renewal site within the borders of Meram Municipality in the Konya province of Turkey. In the second stage, a survey is conducted with the participation of stakeholders to identify their spatial and functional demands (vision, land-use and building design). Finally, the fitting between the spatial and functional demands of the stakeholders and the spatial and functional goals identified within the framework of the CLUP approach is discussed. As a result of the survey, it was determined that the expectations of the stakeholders regarding the vision, land-use and building design participate and governance processes are incompatible with each other. The expectations of the stakeholders were evaluated within the framework of the CLUP approach, and recommendations were made for a sustainable vision and a pluralistic decision-making, while raising awareness for participation.
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    GIS INVESTIGATION OF SITE SELECTION OF HISTORICAL STRUCTURES: THE CASE OF KNIDOS (DATCA, TURKEY)
    (Univ Agean, Dept Mediterranean Stud, 2017) Gumus, M. Gizem; Durduran, S. Savas; Bozdag, Asli; Gumus, Kutalmis
    In archaeological research, the collection, storage, query and analysis of data is conducted with the help of the Geographical Information System (GIS) in order to acquire the most accurate information about the area. Spatial analyses made with the help of GIS in ancient cities contribute to revealing the social, cultural and survival features of these cities. The aim of this study is to examine the rationale for spatial site selection in Knidos ancient city, which is in the Turkish province of Mugla and which has different city planning with its geographical features. For this reason, firstly, a digital elevation model that reveals the topography of the city was constituted. Then, the database design and spatial analyses (slope, aspect and visibility) were conducted in line with the aim of the study in ArcGIS 10.2 Software. The site selection rationale for structures was evaluated through spatial analyses (slope, aspect and visibility) in Knidos ancient city. Site selection rationales of the historical structures have been ascertained related to the preferred planning form of the period (grille planning), the geography of the city, the functions given to the historical structures, the visibility of structures, the ports which were as a focal point of the city, the ideological point of view and the reflection power of the ruler's.
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    MONITORING COASTLINE CHANGE USING REMOTE SENSING AND GIS TECHNOLOGY: A CASE STUDY OF BURDUR LAKE, TURKEY
    (Parlar Scientific Publications (P S P), 2017) Temiz, Fatih; Bozdag, Asli; Durduran, S. Savas; Gumus, M. Gizem
    There are wetlands, wildlife protection areas and natural sites that are important for the ecosystem that hosts numerous living creatures in Turkey. Burdur Lake Watershed, located in the lakes region of the south west of Anatolia, is also one of the watersheds of Turkey which has significance in terms of agriculture, biodiversity and environmental impact values. Furthermore, Burdur Lake is the largest lake of this region and among deepest lakes of Turkey. In recent years, the lake has shrunk due to adverse effects of urbanization, agricultural activities, industrial activities and forest industry activities while its volume also has been observed to decrease. It is necessary to evaluate this change and develop solution proposals for sustainable development thereof. The main aim of this study is to analyze the temporal variation of the Burdur Lake coastal boundary using GIS and Remote Sensing (RS) applications. For determination of the temporal change of land use of Lake Burdur; Landsat satellite images of 1985, 2000 and 2015 belonging to Burdur Lake were used and a SWOT analysis for Burdur watershed was conducted in order to determine the causes of these changes. Strengths, weaknesses, threats and opportunities of the region have been determined thanks to this analysis and required suggestions have been made as to the issues identified in this analysis.
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    Monitoring coastline change using remote sensing and gis technology: A case study of Burdur Lake, Turkey
    (Parlar Scientific Publications, 2017) Temiz, Fatih; Bozdag, Asli; Durduran, S. Savas; Gumus, M. Gizem
    There are wetlands, wildlife protection areas and natural sites that are important for the ecosystem that hosts numerous living creatures in Turkey. Burdur Lake Watershed, located in the lakes region of the south west of Anatolia, is also one of the watersheds of Turkey which has significance in terms of agriculture, biodiversity and environmental impact values. Furthermore, Burdur Lake is the largest lake of this region and among deepest lakes of Turkey. In recent years, the lake has shrunk due to adverse effects of urbanization, agricultural activities, industrial activities and forest industry activities while its volume also has been observed to decrease. It is necessary to evaluate this change and develop solution proposals for sustainable development thereof. The main aim of this study is to analyze the temporal variation of the Burdur Lake coastal boundary using GIS and Remote Sensing (RS) applications. For determination of the temporal change of land use of Lake Burdur; Landsat satellite images of 1985, 2000 and 2015 belonging to Burdur Lake were used and a SWOT analysis for Burdur watershed was conducted in order to determine the causes of these changes. Strengths, weaknesses, threats and opportunities of the region have been determined thanks to this analysis and required suggestions have been made as to the issues identified in this analysis. © by PSP.
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    Real Property Valuation in the Sample of the City of Nigde through GIS and AHP Method
    (Geomatik Journal, 2020) Bozdag, Asli; Ertunc, Ela
    The real estate valuation is to determine the value of the real property impartially and objectively by evaluating the factors such as the quality, environment and conditions of use of the real property. The estimation of the value of a reliable real estate is possible by an objective co-analysis of the land properties. Today, the valuation of real estate has not been established as an ideal system. Therefore, inconsistencies occur in real estate values and the criteria used to evaluate the real estate need to be investigated effectively. In this study, 5 main criteria and 38 sub-criteria related to these criteria were determined after the literature search for the valuation of immovable properties. The immovable value of the 30 apartments selected in the development region of Nigde city were evaluated according to these criteria in terms of the structure and positional characteristics of the structure and compared with the market values. Analytical Hierarchy Process (AHP), which is the most widely used Multi-Criteria Decision Making (MCDM) methods, was used to determine the importance ranking of these criteria in the valuation of structures. The comparison of the criteria was made according to expert opinions and their significance levels and statistical significance levels were calculated. In order to determine the positional properties of the structures, the analysis carried out with the help of GIS were used. As a result, the real estate value of the selected 30 apartments was determined using AHP and GIS method and these values were compared with the market values of the properties. The values of the immovable determined with the help of AHP and GIS were found to be consistent with the market values.
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    SPATIAL ANALYSIS OF THE EFLATUNPINAR AND FASILLAR HITTITE MONUMENTS USING GIS
    (Univ Agean, Dept Mediterranean Stud, 2020) Selvi, Huseyin Zahit; Bozdag, Asli; Bozdag, Irfan; Karauguz, Gungor
    Hittite Empire (13th c. BC) preferred open-air temples, centered around the Tarhuntassa region and the Beysehir basin, which are estimated to be within the borders of the modern Konya province. The Eflatunpinar and Fasillar monuments are open-air temples in this region and they are still standing almost 2000 years although they are worn out. The Eflatunpinar monument was included in the temporary UNESCO World Heritage list in 2014. Fasillar monument, the depictions of mountain god and lions stand out culturally. The aim of this study is to investigate the reasons for the site selection of the Eflatunpinar and Fasillar monuments while also taking into account the lifestyle and the settlement forms of the Hittites. In the research process, the features of the monuments and their spatial relations with their surroundings and with each other were analysed through maps with the help of Geographic Information Systems (GIS). It was determined that the reasons behind the site selection of these monuments were the land use structure, water and the thought to sacralize it, and the need to reflect the magnificence of the political power and possess strategic transportation routes.
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    Spatial prediction of PM10 concentration using machine learning algorithms in Ankara, Turkey
    (Elsevier Sci Ltd, 2020) Bozdag, Asli; Dokuz, Yesim; Gokcek, Oznur Begum
    With the increase in population and industrialization, air pollution has become one of the global problems nowadays. Therefore, air pollutant parameters should be measured at regular intervals, and the necessary measures should be taken by evaluating the results of measurements. In order to prevent air pollution, pollutant parameters must be evaluated within the framework of a model. Recently, in order to obtain objective and more sensitive results with regard to air pollution nowadays, studies, which use machine learning algorithms in artificial intelligence technologies, have been carried out. In this study, PM10 concentrations, which are obtained from 7 stations in Ankara province in Turkey, were trained with machine learning algorithms (LASSO, SVR, RF, kNN, xGBoost, ANN). The PM10 concentrations of the years 2009-2017 of 6 stations in Ankara were given as input, and the PM10 concentrations of the seventh station for the year 2018 were predicted. The model development stage was repeated for each station, and the performance and error rates of the algorithms were determined by comparing the results produced by the algorithms with the actual results. The best results were provided with ANN (R-2 = 0.58, RMSE = 20.8, MAE = 14.4). The spatial distribution of the estimated concentration results was provided through Geographic Information System (GIS), and spatial strategies for improving air pollution over land use were established. (c) 2020 Elsevier Ltd. All rights reserved.